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Data Intelligence Architect

2 weeks ago


Ellore, Andhra Pradesh, India beBeeArtificialIntelligence Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Gen AI Engineer Job Description">

Job Overview:

We are seeking a skilled Gen AI Engineer to design and implement scalable data intelligence platforms that integrate structured and unstructured data sources.

  • The ideal candidate will develop and fine-tune Generative AI models (LLMs, GANs, Diffusion Models) for tasks such as text generation, synthetic data creation, and content automation.
  • They will collaborate with data engineers, ML engineers, and product teams to deploy AI solutions into production environments.
  • The selected candidate will build and maintain data pipelines, feature stores, and model monitoring systems.
  • They should apply prompt engineering techniques to optimize LLM performance for business use cases.
  • The candidate will conduct experiments and A/B testing to evaluate model performance and business impact.
  • They must ensure compliance with data governance, privacy, and ethical AI standards.

Key Responsibilities:

  • Design and implement scalable data intelligence platforms that integrate structured and unstructured data sources.
  • Develop and fine-tune Generative AI models (LLMs, GANs, Diffusion Models) for tasks such as text generation, synthetic data creation, and content automation.
  • Collaborate with data engineers, ML engineers, and product teams to deploy AI solutions into production environments.
  • Build and maintain data pipelines, feature stores, and model monitoring systems.

Required Qualifications:

  • A Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field.
  • 3-5 years of experience in data science, machine learning, or AI engineering.
  • Hands-on experience with LLMs (e.g., GPT, Claude, LLaMA) and frameworks like Hugging Face, LangChain, or OpenAI APIs.
  • Proficiency in Python, SQL, and cloud platforms (AWS, Azure, or GCP).

Preferred Skills:

  • Experience with knowledge graphs, semantic search, or data fabric architectures.
  • Familiarity with AutoML, RLHF, or multi-modal AI.
  • Excellent communication and stakeholder management skills.